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Analyze » Avis Budget Group » AVI1779603892

Incident Score: Analysis & Impact (AVI1779603892)

The details regarding individual company incidents & reports gives you full view from every side.

Rankiteo Score Impact Analysis

Rankiteo Incident Impact-70
Company Score Before Incident719 / 1000
Company Score After Incident649 / 1000
INCIDENT NUMBERAVI1779603892
Type of Cyber IncidentBreach
ATTACK VECTORNA
DATA EXPOSEDNames, driver’s license details, credit...
INCIDENT DATE20/05/2026
STATUSpublished

Key Highlights From The Incident Analysis

  • Timeline of Avis Budget Group's Breach and lateral movement inside company's environment.
  • Overview of affected data sets, including SSNs and PHI, and why they materially increase incident severity.
  • How Rankiteo’s incident engine converts technical details into a normalized incident score.
  • How this cyber incident impacts Avis Budget Group Rankiteo cyber scoring and cyber rating.
  • Rankiteo’s MITRE ATT&CK correlation analysis for this incident, with associated confidence level.

Full Incident Analysis Transcript

In this Rankiteo incident briefing, we review the Avis Budget Group breach identified under incident ID AVI1779603892.

The analysis begins with a detailed overview of Avis Budget Group's information like the linkedin page: https://www.linkedin.com/company/avis-budget-group, the number of followers: 188489, the industry type: Travel Arrangements and the number of employees: 18117 employees

After the initial compromise, the video explains how Rankiteo's incident engine converts technical details into a normalized incident score. The incident score before the incident was 719 and after the incident was 649 with a difference of -70 which is could be a good indicator of the severity and impact of the incident.

In the next step of the video, we will analyze in more details the incident and the impact it had on Avis Budget Group and their customers.

On 06 August 2024, Avis Car Rental disclosed Data Breach issues under the banner "Avis Car Rental Data Breach Settlement".

Avis Car Rental is offering reimbursement settlements of up to $5,000 to customers affected by a 2024 data breach.

The disruption is felt across the environment, and exposing Names, driver’s license details, credit card numbers, birthdates, phone numbers, plus an estimated financial loss of $5,000 reimbursement per eligible claimant.

In response, and stakeholders are being briefed through Customer advisories via settlement website and deadlines.

The case underscores how with advisories going out to stakeholders covering Deadline for claims: June 21, 2024; Opt-out/object deadline: May 22, 2024; Final court hearing: July 28, 2024.

Finally, we try to match the incident with the MITRE ATT&CK framework to see if there is any correlation between the incident and the MITRE ATT&CK framework.

The MITRE ATT&CK framework is a knowledge base of techniques and sub-techniques that are used to describe the tactics and procedures of cyber adversaries. It is a powerful tool for understanding the threat landscape and for developing effective defense strategies.

MITRE ATT&CK® Correlation Analysis

Rankiteo's analysis has identified several MITRE ATT&CK tactics and techniques associated with this incident, each with varying levels of confidence based on available evidence. Under the Initial Access tactic, the analysis identified Valid Accounts (T1078) with moderate confidence (60%), supported by evidence indicating exposed sensitive customer data, including...credit card numbers and Exploit Public-Facing Application (T1190) with moderate confidence (50%), supported by evidence indicating incident occurring between August 3 and 6, 2024. Under the Credential Access tactic, the analysis identified Modify Authentication Process (T1556) with lower confidence (40%), supported by evidence indicating driver’s license details, credit card numbers compromised and Brute Force (T1110) with lower confidence (30%), supported by evidence indicating no details on attack vector or vulnerability exploited. Under the Collection tactic, the analysis identified Data from Local System (T1005) with moderate to high confidence (80%), supported by evidence indicating names, driver’s license details, credit card numbers, birthdates exposed and Data from Information Repositories (T1213) with moderate to high confidence (70%), supported by evidence indicating sensitive customer data...exposed via data breach. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate to high confidence (70%), supported by evidence indicating data breach impacting U.S. residents with compromised information and Transfer Data to Cloud Account (T1537) with moderate confidence (50%), supported by evidence indicating no details on data exfiltration method. Under the Impact tactic, the analysis identified Data Destruction (T1485) with lower confidence (30%), supported by evidence indicating no details on malware or data destruction and Data Manipulation: Transmitted Data Manipulation (T1565.002) with lower confidence (40%), supported by evidence indicating credit card numbers and driver’s license details exposed. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.

Initial Access
Valid Accounts (60%)
Exploit Public-Facing Application (50%)
Credential Access
Modify Authentication Process (40%)
Brute Force (30%)
Collection
Data from Local System (80%)
Data from Information Repositories (70%)
Exfiltration
Exfiltration Over C2 Channel (70%)
Transfer Data to Cloud Account (50%)
Impact
Data Destruction (30%)
Data Manipulation: Transmitted Data Manipulation (40%)

Sources & References